Corso di laurea di 1° livello

• Informatica. A.A. 2016/17, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2017/18, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2018/19, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• Barchi, Francesco (2020)
  Many-core and heterogeneous architectures: programming models and compilation toolchains. relatore: MACII, Enrico; , 32. XXXII Ciclo, P.: 172
  Doctoral Thesis
• Urgese, G.; Barchi, F.; Parisi, E.; Forno, E.; Acquaviva, A.; Macii, E. (2019)
  Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm. In: ELECTRONICS, vol. 8. ISSN 2079-9292
  Contributo su Rivista
• Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea (2019)
  Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis. In: 26th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018, Verona, Italy, October 8–10, 2018, pp. 167-186. ISSN 1868-4238. ISBN: 978-3-030-23424-9
  Contributo in Atti di Convegno (Proceeding)
• Barchi, Francesco; Urgese, Gianvito; Siino, Alessandro; Di Cataldo, Santa; Macii, ... (2019)
  Flexible on-line reconfiguration of multi-core neuromorphic platforms. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. ISSN 2168-6750
  Contributo su Rivista
• Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea (2019)
  Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR. In: In 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC), Las Vegas USA, 2-6 June 2019. ISBN: 978-1-4503-6725-7
  Contributo in Atti di Convegno (Proceeding)
• Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea (2018)
  Work-in-Progress: Impact of Graph Partitioning on SNN Placement for a Multi-Core Neuromorphic Architecture. In: International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES 2018), Turin, 30 Sept.-5 Oct. 2018. ISBN: 978-153865564-1
  Contributo in Atti di Convegno (Proceeding)
• Urgese, Gianvito; Barchi, Francesco; Macii, Enrico; Acquaviva, Andrea (2018)
  Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms. In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, vol. 6, pp. 317-329. ISSN 2168-6750
  Contributo su Rivista
• Barchi, Francesco; Urgese, Gianvito; Acquaviva, Andrea; Macii, Enrico (2018)
  Directed Graph Placement for SNN simulation into a multi-core GALS architecture. In: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018), Verona, Italy, October 8-10, 2018. ISBN: 978-1-5386-4756-1
  Contributo in Atti di Convegno (Proceeding)
• Urgese, Gianvito; Peres, Luca; Barchi, Francesco; Macii, Enrico; Acquaviva, Andrea (2018)
  Work-in-Progress: Multiple Alignment of Packet Sequences for Efficient Communication in a Many-Core Neuromorphic System. In: 2018 International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), 2018. ISBN: 978-153865564-1
  Contributo in Atti di Convegno (Proceeding)
• Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea (2017)
  An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms. In: 2017 New Generation of CAS (NGCAS), Genova (IT), 7-9 Settembre 2017, pp. 273-276. ISBN: 978-1-5090-6447-2
  Contributo in Atti di Convegno (Proceeding)